Week6 26th September 2020
www.bharathkreddy.com
Material for Week 6 of ML boot camp.
Prerequisites - you should be familiar and should at least be able to understand below
- Numpy
- Pandas
- Matplotlib
- Able to use sklearn to split the dataset in test and train datasets
- Able to use sklearn to pre-preocess the data and use sklearn pipelines
YOUR CHECKLIST FOR SESSION ON 26th SEPT @ 13:30 PM IST
Items ticked are highly recomended to be completed before session, unticked ones are for the more adventerous of you :)
- Day1: Read the theory on Logistic regression from my Github Repositary, see the readme file in repo.
- Day2: Practice - Using sklearn pre-processing pipelines until you are comfortable using them. You would see i have used them again in the notebook in my github repo.
- Day3: Try recreate the steps in the notebook in my github repo on titanic dataset
- Day4: Revise Logistic regression week 4 & week 5 Material.
- Day5: If you are done with all above - check the week 7 material metioned in my github repo